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Risk and Return in High-Frequency Trading

Author

Listed:
  • Matthew Baron

    (University of Warwick)

  • Björn Hagströmer

    (Stockholm University)

  • Andrei Kirilenko

    (Imperial College London)

Abstract

We study performance and competition among high-frequency traders (HFTs). We construct measures of latency and find that differences in relative latency account for large differences in HFTs’ trading performance. HFTs that improve their latency rank due to colocation upgrades see improved trading performance. The stronger performance associated with speed comes through both the short-lived information channel and the risk management channel, and speed is useful for various strategies including market making and cross-market arbitrage. We find empirical support for many predictions regarding relative latency competition.

Suggested Citation

  • Matthew Baron & Björn Hagströmer & Andrei Kirilenko, 2017. "Risk and Return in High-Frequency Trading," GRU Working Paper Series GRU_2017_018, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    • Handle: RePEc:cth:wpaper:gru_2017_018
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    File URL: https://www.cb.cityu.edu.hk/ef/doc/GRU/WPS/GRU%232017-018%20Baron%20et%20al.pdf
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    Keywords

    high-frequency trading; low latency; market microstructure;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G19 - Financial Economics - - General Financial Markets - - - Other

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